Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 19, issue 4
Articles | Volume 19, issue 4
https://doi.org/10.5194/gmd-19-1749-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-19-1749-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 4
Model description paper
 | 
02 Mar 2026
Model description paper |  | 02 Mar 2026

Improved bathymetry estimates beneath Amundsen Sea ice shelves using a Markov Chain Monte Carlo gravity inversion (GravMCMC, version 1)

Michael J. Field, Emma J. MacKie, Lijing Wang, Atsuhiro Muto, and Niya Shao

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Short summary
Ice shelves are thinning and losing mass in West Antarctica because of interaction with warm water. The topography of the bedrock beneath the ice shelves is difficult to measure but important for understanding how quickly the ice shelves will melt. This study uses gravity data to infer the bedrock topography beneath the ice shelves. We use statistical methods to create an ensemble of bathymetry models that sample the uncertainty of the assumptions in the problem.
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